Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
LRMoE: Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes
arXiv:2610.37720v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models offer scalable capacity for Web applications, but uneven routing creates computation…
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
arXiv:2610.37584v2 Announce Type: replace-cross Abstract: Personalized recommendation depends on learning semantic and collaborative relations among items from online content and…
Learning to Bound: Monotonic, Calibrated Neural Upper Bounds for MPE Inference
arXiv:2610.39305v1 Announce Type: cross Abstract: Probabilistic graphical models (PGMs) compactly encode structured joint distributions, but Most Probable Explanation (MPE), which…
There Is No Free Lunch in RLVR: Every pass@1 Gain Has a pass@k Price
arXiv:2610.39295v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) makes a language model solve more problems on the…
Proposing Better Rollouts for On-Policy Distillation
arXiv:2610.36477v2 Announce Type: replace-cross Abstract: On-policy distillation (OPD) improves language-model post-training by letting the student learn from its own sampled…
Foundation model for particle collision data analysis
Nature Machine Intelligence, Published online: 29 October 2026; doi:10.1038/s42256-026-01322-9 Hsu et al. present EVENET, a foundation model pretrained on simulated…